التفاصيل البيبلوغرافية
| العنوان: |
Pac-Man Pete: An extensible framework for building AI in VEX Robotics |
| المؤلفون: |
Zietek, Jacob, Wade, Nicholas, Roberts, Cole, Malek, Aref, Pylla, Manish, Xu, Will, Patil, Sagar |
| سنة النشر: |
2022 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning |
| الوصف: |
This technical report details VEX Robotics team BLRSAI's development of a fully autonomous robot for VEX Robotics' Tipping Point AI Competition. We identify and develop three separate critical components. This includes a Unity simulation and reinforcement learning model training pipeline, a malleable computer vision pipeline, and a data transfer pipeline to offload large computations from the VEX V5 Brain/micro-controller to an external computer. We give the community access to all of these components in hopes they can reuse and improve upon them in the future, and that it'll spark new ideas for autonomy as well as the necessary infrastructure and programs for AI in educational robotics. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2211.14385 |
| رقم الانضمام: |
edsarx.2211.14385 |
| قاعدة البيانات: |
arXiv |